Search results for "Cognition"

showing 10 items of 7054 documents

I Cannot Read Your Eye Expression: Suicide Attempters Have Difficulties in Interpreting Complex Social Emotions

2020

International audience; Background: The ability to differentiate emotions in social contexts is important for dealing with challenging social situations. Suicide attempters show some difficulties in emotion recognition that may result in hypersensitivity to social stress. However, other studies on the recognition of social complex emotions found that suicide attempters have similar performances as depressed non-attempters. Objectives: To investigate differences in social emotion recognition in patients with current Major Depressive Episode (MDE) with and without history of suicide attempt. Methods: Two hundred and ten patients with MDE were recruited among whom 115 had lifetime history of s…

suicide attemptSocial emotionslcsh:RC435-571[SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental healthPsychological interventionseverityRMET03 medical and health sciences0302 clinical medicinelcsh:Psychiatryemotion recognitionmedicineBipolar disorderValence (psychology)Major depressive episodeOriginal ResearchPsychiatrySocial stressmajor depressive disorderSuicide attempt16. Peace & justicemedicine.disease030227 psychiatryPsychiatry and Mental health[SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental healthMajor depressive disordermedicine.symptomPsychology030217 neurology & neurosurgeryClinical psychologyFrontiers in Psychiatry
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Étude d'un système de stéréo-vision hybride

2013

National audience; On considère dans ce travail un système de vision hybride fixe composé d'une caméra fisheye et d'une caméra PTZ dans un environnement rigide. Nous souhaitons être en mesure d'orienter la caméra mécanisée sur une cible visible depuis l'image omnidirectionnelle de manière à obtenir une image de bonne définition de l'objet d'intérêt à partir de la caméra PTZ. Nous proposons dans cet article d'utiliser la modélisation sphérique des images ainsi que les propriétés de la géométrie épipolaire afin d'initialiser la localisation de la cible dans la caméra PTZ.

suivi de cible[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]système de vision hybride[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Caméra fisheyePTZcalibration[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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Supramolecular Organocatalysis in Water Mediated by Macrocyclic Compounds

2018

In the last decades many efforts have been devoted to design supramolecular organocatalysts able to work in water as the reaction medium. The use of water as solvent provides promising benefits with respect to environmental impact. In this context, macrocyclic compounds played a role of primary importance thanks to their ease of synthesis and their molecular recognition abilities toward the reactants. The aim of this review is to give an overview of the recent advances in the field of supramolecular organocatalysis in water, focusing the attention on calixarene and cyclodextrins derivatives. Calixarenes and cyclodextrins, thanks to their hydrophobic cavities, are able to host selectively th…

supramolecular organocatalysisSupramolecular chemistryContext (language use)Review010402 general chemistry01 natural scienceslcsh:ChemistryHydrophobic effectMolecular recognitionCalixareneHydrophobic effectsupramolecular organocatalysis Water Hydrophobic effect molecular recognition Calixarenes CyclodextrinsCyclodextrins010405 organic chemistryChemistryRegioselectivityWaterGeneral ChemistryCombinatorial chemistry0104 chemical sciencesChemistrylcsh:QD1-999Organic reactionOrganocatalysismolecular recognitionCalixarenes
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Variable fractional Fourier processor: a simple implementation: erratum

1997

symbols.namesakeOpticsFourier transformComputer sciencebusiness.industrySimple (abstract algebra)symbolsApplied mathematicsComputer Vision and Pattern RecognitionbusinessAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsVariable (mathematics)Journal of the Optical Society of America A
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Une nouvelle approche de classification de personnes à partir d'une plate-forme multi-kinect

2015

International audience; Dans ce papier nous présentons un descripteur 3D original pour la classification de personnes. Nous avons réalisé une plate-forme multi-kinect qui fait l'acquisition de nuages de points complets (c'est à dire selon une vue à 360°). Un post-traitement (suppression d'arrière-plan) isole les éléments qui sont candidats à représenter une personne. Notre descripteur exploite ces données et permet, au travers d'un classifieur SVM (Support Vector Machine), de classifier les personnes et de déterminer l'orientation du plan frontal de la personne. Il utilise la répartition spatiale et l'orientation des normales aux surfaces dans un procédé dérivé de celui des HOG (Histogram o…

système multikinect.[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Classification de personnes[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]descripteur 3D[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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Model selection using limiting distributions of second-order blind source separation algorithms

2015

Signals, recorded over time, are often observed as mixtures of multiple source signals. To extract relevant information from such measurements one needs to determine the mixing coefficients. In case of weakly stationary time series with uncorrelated source signals, this separation can be achieved by jointly diagonalizing sample autocovariances at different lags, and several algorithms address this task. Often the mixing estimates contain close-to-zero entries and one wants to decide whether the corresponding source signals have a relevant impact on the observations or not. To address this question of model selection we consider the recently published second-order blind identification proced…

ta112Series (mathematics)Estimation theoryModel selectionasymptotic normalitypattern identificationAsymptotic distributionInformation Criteriaoint diagonalization SOBI AsympBlind signal separationMatrix (mathematics)Control and Systems EngineeringSOBISignal Processingjoint diagonalizationComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringAlgorithmSoftwareMixing (physics)MathematicsSignal Processing
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Acoustic detection and classification of river boats

2011

We present a robust algorithm to detect the arrival of a boat of a certain type when other background noises are present. It is done via the analysis of its acoustic signature against an existing database of recorded and processed acoustic signals. We characterize the signals by the distribution of their energies among blocks of wavelet packet coefficients. To derive the acoustic signature of the boat of interest, we use the Best Discriminant Basis method. The decision is made by combining the answers from the Linear Discriminant Analysis (LDA) classifier and from the Classification and Regression Trees (CART) that is also accompanied with an additional unit, called Aisles, that reduces fal…

ta113Acoustics and UltrasonicsNetwork packetbusiness.industryPattern recognitionLinear discriminant analysisRegressionWaveletDiscriminantAcoustic signatureProcess controlArtificial intelligencebusinessClassifier (UML)MathematicsApplied Acoustics
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A novel heuristic memetic clustering algorithm

2013

In this paper we introduce a novel clustering algorithm based on the Memetic Algorithm meta-heuristic wherein clusters are iteratively evolved using a novel single operator employing a combination of heuristics. Several heuristics are described and employed for the three types of selections used in the operator. The algorithm was exhaustively tested on three benchmark problems and compared to a classical clustering algorithm (k-Medoids) using the same performance metrics. The results show that our clustering algorithm consistently provides better clustering solutions with less computational effort.

ta113Determining the number of clusters in a data setBiclusteringClustering high-dimensional dataDBSCANComputingMethodologies_PATTERNRECOGNITIONTheoretical computer scienceCURE data clustering algorithmCorrelation clusteringCanopy clustering algorithmCluster analysisAlgorithmMathematics2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
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Gear classification and fault detection using a diffusion map framework

2015

This article proposes a system health monitoring approach that detects abnormal behavior of machines. Diffusion map is used to reduce the dimensionality of training data, which facilitates the classification of newly arriving measurements. The new measurements are handled with Nyström extension. The method is trained and tested with real gear monitoring data from several windmill parks. A machine health index is proposed, showing that data recordings can be classified as working or failing using dimensionality reduction and warning levels in the low dimensional space. The proposed approach can be used with any system that produces high-dimensional measurement data. peerReviewed

ta113Diffusion (acoustics)Training setta214Computer scienceDimensionality reductiondiffusion mapExtension (predicate logic)computer.software_genreFault detection and isolationfault detectionsystem health monitoringArtificial IntelligenceSignal ProcessingComputer Vision and Pattern RecognitionData miningCluster analysiscomputerSoftwareCurse of dimensionalityclustering
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Interactive map interface for controlling bridge crane automation A cognitive-affective approach

2016

This study outlines the development process of a new touch screen based user interface for controlling bridge crane automation in industrial environments. A user study of existing situation (n1 = 11) was used to develop an understanding of the cognitive and emotional design goals for crane operation. Conceptualization of these goals in the context of automation produced a set of requirements, which were used to develop a map-based touch screen user interface. Two field tests (n2 = 5, n3 = 5) revealed how bridge crane operators cognise and emotionally experience the increasing automation and how the user interface should be designed to support the operator’s spatial mental representation as …

ta113EngineeringConceptualizationta213business.industrymedia_common.quotation_subjectCognitionemotional designMobile mapAutomationEmotional designUser interface designAutomationautomaatioFeelingHuman–computer interactionMental representationInterface designUser interfacebusinessCompetence (human resources)interface designmobile mapmedia_common
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